Optimal and economic operational strategies in electric power systems

我们对待放松管制的电力系统和相关领域的优化和经济运行，使用先进的优化，估计和计算智能技术。我们使用计算智能工具扩展了我们早期的创新，包括群体智能代理和增强的神经和模糊技术。我们处理一个电力系统环境与竞争开放的传输和可能的分布接入环境中存在许多未开发的操作策略。我们研究的有功和无功功率和辅助服务分配到供电质量，同时尊重环境和安全约束的定价最优机制。我们制定和解决短期的最优运行问题的系统具有多个所有权的传输，发电和配电资产，使电力市场参与者做出有根据的决策。我们建议提高负荷和市场出清价格（MCP）的预测和最优模型参数估计能力的传输和分配系统，以提高计算效率沿着提高精度。我们处理短期和长期负荷和MCP预测。我们还处理成本和性能模型估计中未解决的问题。我们处理的配电系统，旨在减少损失的主要馈线系统的最佳部署的固定电容器和基于FACTS的无功设备。一个未探索的领域涉及分布式和嵌入式发电资产对传统配电系统的有益影响和影响。 这项研究将提高电力系统参与者的经济储蓄，并提高社会福利功能，包括环境影响和服务的连续性和电力质量。加拿大电力工业正在享受对高技能人才的需求复苏，这项研究将有助于这一方向。

We treat optimal and economic operation of deregulated electric power systems and related areas using advanced optimization, estimation, and computational intelligence techniques. We extend our earlier innovations using computational intelligence tools, by including swarm intelligent agents and enhanced neural and fuzzy technologies. We deal with a power system environment with competitive open transmission and possibly distribution access environment where many unexplored operational strategies exist. We research optimal mechanisms for pricing active and reactive power and ancillary services assigned to quality of power supply while respecting environmental and security constraints. We formulate and solve short-range optimal operational problems for systems with multiple ownerships of transmission, generation and distribution assets to allow power market participants to make well-founded decisions. We propose to enhance load and market clearing price (MCP) forecasting and optimal model parameter estimation capabilities for transmission and distribution systems to improve computational efficiencies along with improved accuracy. We deal with short and long term load and MCP forecasts. We also treat unresolved issues in cost and performance model estimation. We deal with distribution system aiming to reduce losses in primary feeder systems by optimal deployment of fixed capacitors and FACTs-based reactive devices. A non-explored area deals with the beneficial effects and impact of distributed and embedded generation assets on the conventional distribution system.   This research will improve economic savings for power system participants, and enhance social welfare functions involving environmental impacts and continuity of service and quality of power. Canadian electric power industry is enjoying a resurgence of requirements for highly skilled personnel and this research will help in this direction.