Bradford Scholars
Bradford Scholars is the University of Bradford online research archive. Access is free to anyone interested in research being conducted at Bradford. In the repository you will find a range of materials from journal articles and conference papers to research reports and theses.
Contact the repository team via openaccess@bradford.ac.uk with any queries about Open Access or how to deposit your research papers.
Communities in Bradford Scholars
Select a community to browse its collections.
Recent Submissions
Publication Active distribution networks operation within a distribution market environment(2017)This chapter proposes a novel method for the operation of active distribution networks within a distribution market environment taking into account multi-configuration of wind turbines. Multi-configuration multi-scenario market-based optimal power flow is used to maximise the social welfare considering uncertainties related to wind speed and load demand. Scenario based approach is used to model the uncertainties. The method assesses the impact of multiple-wind turbine configurations on the amount of wind power that can be injected into the grid and the distribution locational marginal prices throughout the network. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system.Publication Foreign Direct Investment and Environmental Rights Protection in Nigeria. Towards a Balance in the Regulatory Framework in the Oil and Gas IndustryThis thesis examines current regulatory frameworks for foreign direct investment protection in the Nigerian oil and gas industry. It evaluates its impact on the realization and enforcement of environmental rights. Foreign investment in the oil and gas industry poses unique challenges to the environment as well as opportunities regarding sustainable development, participation, and environmental rights. These challenges arise from the impacts of oil exploration, exploitation, and the over-utilisation of resources that bear on the environmental rights of the host communities. The research discusses these impacts on the right to the environment and the hindrances which impede its realization and enforcement brought about by international and national legal regimes. The impacts have resulted in an imbalance between foreign direct investments protection and the enforcement of environmental rights. The study highlights the various national, regional, and international laws, regulations, and institutional frameworks on foreign direct investmentt and environmental rights protection. This was carried out in a comparative insight with laws and regulatory frameworks of South African and Indian States. By adopting the evolving trend in foreign direct investment and environmental rights protection adduced from the research findings, the study advocates for a bottom-up policy approach to environmental protection through the implementation of sustainable development principles in legislative and adjudicative processes, democratization of environmental policy implementation and participation founded on constitutionalism amongst others. The doctrinal research methodology is applied in this research. Recommendations are made towards foreign direct investment and environmental rights protection for an enduring sustainable economic growth and development.Publication Strategic placement of distribution network operator owned wind turbines by using market-based optimal power flow(2014)In this study, a new methodology to optimally allocate wind turbines (WTs) in distribution networks is proposed. A market-based optimal power flow is used to determine the optimal numbers and capacities of WTs in a way that maximises the social welfare. The method is conceived for distribution network operators to strategically allocate WTs in distribution networks. The proposed method by yielding location-specific WTs capacity settlement both in terms of cost reduction and consumers' benefits is consistent with distribution network topology and constraints. The method is solved by using step-controlled primal dual interior point method considering network constraints. The effectiveness of the proposed method is demonstrated with two radial distribution systems including an 84-bus 11.4 kV and a 69-bus 11 kV network.Publication Evaluating the Benefits of Optimal Allocation of Wind Turbines for Distribution Network Operators(2015)This paper proposes a hybrid optimization method for optimal allocation of wind turbines (WTs) that combines a fast and elitist multiobjective genetic algorithm (MO-GA) and the market-based optimal power flow (OPF) to jointly minimize the total energy losses and maximize the net present value associated with the WT investment over a planning horizon. The method is conceived for distributed-generator-owning distribution network operators to find the optimal numbers and sizes of WTs among different potential combinations. MO-GA is used to select, among all the candidate buses, the optimal sites and sizes of WTs. A nondominated sorting GA II procedure is used for finding multiple Pareto-optimal solutions in a multiobjective optimization problem, while market-based OPF is used to simulate an electricity market session. The effectiveness of the method is demonstrated with an 84-bus 11.4-kV radial distribution system.Publication Active distribution networks planning with integration of demand response(2015-12)This paper proposes a probabilistic method for active distribution networks planning with integration of demand response. Uncertainties related to solar irradiance, load demand and future load growth are modelled by probability density functions. The method simultaneously minimizes the total operational cost and total energy losses of the lines from the point of view of distribution network operators with integration of demand response over the planning horizon considering active management schemes including coordinated voltage control and adaptive power factor control. Monte Carlo simulation method is employed to use the generated probability density functions and the weighting factor method is used to solve the multi-objective optimization problem. The effectiveness of the proposed method is demonstrated with 16-bus UK generic distribution system.